diff --git a/.gitignore b/.gitignore
index 17f93500bd..7a70c76072 100644
--- a/.gitignore
+++ b/.gitignore
@@ -112,4 +112,5 @@ test_data/*
 experimental/grouped_convolution_tile_instances/instances/*
 !experimental/grouped_convolution_tile_instances/instances/*.in
 !experimental/grouped_convolution_tile_instances/instances/*.inc
+!experimental/grouped_convolution_tile_instances/instances/*.hpp
 experimental/grouped_convolution_tile_instances/*.inc
diff --git a/experimental/builder/include/ck_tile/builder/reflect/instance_traits_device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle.hpp b/experimental/builder/include/ck_tile/builder/reflect/instance_traits_device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle.hpp
index df2a3532c9..3be99ae7ca 100644
--- a/experimental/builder/include/ck_tile/builder/reflect/instance_traits_device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle.hpp
+++ b/experimental/builder/include/ck_tile/builder/reflect/instance_traits_device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle.hpp
@@ -296,45 +296,45 @@ struct InstanceTraits<
         oss << ","
             << detail::conv_bwd_data_spec_name(
                    kConvBwdDataSpecialization); // 14. ConvBackwardDataSpecialization
-        oss << "," << kDoPadGemmM;
-        oss << "," << kDoPadGemmN;
-        oss << "," << kNumGemmKPrefetchStage;
-        oss << "," << kBlockSize;   // 15. BlockSize
-        oss << "," << kMPerBlock;   // 16. MPerBlock
-        oss << "," << kNPerBlock;   // 17. NPerBlock
-        oss << "," << kK0PerBlock;  // 18. K0PerBlock
-        oss << "," << kAK1;         // 19. AK1
-        oss << "," << kBK1;         // 19. BK1
-        oss << "," << kMPerXDL;     // 20. MPerXDL
-        oss << "," << kNPerXDL;     // 21. NPerXDL
-        oss << "," << kMXdlPerWave; // 22. MXdlPerWave
-        oss << "," << kNXdlPerWave; // 23. NXdlPerWave
-        oss << "," << detail::sequence_name<ABlockTransferThreadClusterLengths_K0_M_K1>(); // 24.
-        oss << "," << detail::sequence_name<ABlockTransferThreadClusterArrangeOrder>();    // 25.
-        oss << "," << detail::sequence_name<ABlockTransferSrcAccessOrder>();               // 26.
-        oss << "," << kABlockTransferSrcVectorDim;                                         // 27.
-        oss << "," << kABlockTransferSrcScalarPerVector;                                   // 28.
-        oss << "," << kABlockTransferDstScalarPerVectorK1;                                 // 29.
-        oss << "," << (kABlockLdsExtraM ? "true" : "false");                               // 30.
-        oss << "," << detail::sequence_name<BBlockTransferThreadClusterLengths_K0_N_K1>(); // 31.
-        oss << "," << detail::sequence_name<BBlockTransferThreadClusterArrangeOrder>();    // 32.
-        oss << "," << detail::sequence_name<BBlockTransferSrcAccessOrder>();               // 33.
-        oss << "," << kBBlockTransferSrcVectorDim;                                         // 34.
-        oss << "," << kBBlockTransferSrcScalarPerVector;                                   // 35.
-        oss << "," << kBBlockTransferDstScalarPerVectorK1;                                 // 36.
-        oss << "," << (kBBlockLdsExtraN ? "true" : "false");                               // 37.
-        oss << "," << kCShuffleMXdlPerWavePerShuffle;                                      // 38.
-        oss << "," << kCShuffleNXdlPerWavePerShuffle;                                      // 39.
+        oss << "," << kDoPadGemmM;              // 15. GEMM padding for M dimension
+        oss << "," << kDoPadGemmN;              // 16. GEMM padding for N dimension
+        oss << "," << kNumGemmKPrefetchStage;   // 17. Number of GEMM K prefetch stages
+        oss << "," << kBlockSize;               // 18. BlockSize
+        oss << "," << kMPerBlock;               // 19. MPerBlock
+        oss << "," << kNPerBlock;               // 20. NPerBlock
+        oss << "," << kK0PerBlock;              // 21. K0PerBlock
+        oss << "," << kAK1;                     // 22. AK1
+        oss << "," << kBK1;                     // 23. BK1
+        oss << "," << kMPerXDL;                 // 24. MPerXDL
+        oss << "," << kNPerXDL;                 // 25. NPerXDL
+        oss << "," << kMXdlPerWave;             // 26. MXdlPerWave
+        oss << "," << kNXdlPerWave;             // 27. NXdlPerWave
+        oss << "," << detail::sequence_name<ABlockTransferThreadClusterLengths_K0_M_K1>(); // 28.
+        oss << "," << detail::sequence_name<ABlockTransferThreadClusterArrangeOrder>();    // 29.
+        oss << "," << detail::sequence_name<ABlockTransferSrcAccessOrder>();               // 30.
+        oss << "," << kABlockTransferSrcVectorDim;                                         // 31.
+        oss << "," << kABlockTransferSrcScalarPerVector;                                   // 32.
+        oss << "," << kABlockTransferDstScalarPerVectorK1;                                 // 33.
+        oss << "," << (kABlockLdsExtraM ? "true" : "false");                               // 34.
+        oss << "," << detail::sequence_name<BBlockTransferThreadClusterLengths_K0_N_K1>(); // 35.
+        oss << "," << detail::sequence_name<BBlockTransferThreadClusterArrangeOrder>();    // 36.
+        oss << "," << detail::sequence_name<BBlockTransferSrcAccessOrder>();               // 37.
+        oss << "," << kBBlockTransferSrcVectorDim;                                         // 38.
+        oss << "," << kBBlockTransferSrcScalarPerVector;                                   // 39.
+        oss << "," << kBBlockTransferDstScalarPerVectorK1;                                 // 40.
+        oss << "," << (kBBlockLdsExtraN ? "true" : "false");                               // 41.
+        oss << "," << kCShuffleMXdlPerWavePerShuffle;                                      // 42.
+        oss << "," << kCShuffleNXdlPerWavePerShuffle;                                      // 43.
         oss << ","
             << detail::sequence_name<
-                   CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>(); // 40.
-        oss << "," << kCBlockTransferScalarPerVector_NWaveNPerXdl;                    // 42.
-        oss << "," << kNumGemmKPrefetchStage;                                         // 41.
-        oss << "," << detail::loop_scheduler_name(kLoopScheduler); // 43. LoopSched
-        oss << "," << detail::type_name<ComputeTypeA>();           // 44.
-        oss << "," << detail::type_name<ComputeTypeB>();           // 45.
-        oss << "," << kMaxTransposeTransferSrcScalarPerVector;     // 46.
-        oss << "," << kMaxTransposeTransferDstScalarPerVector;     // 47.
+                   CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>(); // 44.
+        oss << "," << kCBlockTransferScalarPerVector_NWaveNPerXdl;                    // 45.
+        oss << "," << kNumGemmKPrefetchStage;                                         // 46.
+        oss << "," << detail::loop_scheduler_name(kLoopScheduler); // 47. LoopSched
+        oss << "," << detail::type_name<ComputeTypeA>();           // 48.
+        oss << "," << detail::type_name<ComputeTypeB>();           // 49.
+        oss << "," << kMaxTransposeTransferSrcScalarPerVector;     // 50.
+        oss << "," << kMaxTransposeTransferDstScalarPerVector;     // 51.
 
         oss << ">";
 
diff --git a/experimental/builder/include/ck_tile/builder/testing/conv/bwd_data.hpp b/experimental/builder/include/ck_tile/builder/testing/conv/bwd_data.hpp
new file mode 100644
index 0000000000..bf9012e867
--- /dev/null
+++ b/experimental/builder/include/ck_tile/builder/testing/conv/bwd_data.hpp
@@ -0,0 +1,71 @@
+// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
+// SPDX-License-Identifier: MIT
+
+#pragma once
+
+#include "ck_tile/builder/testing/tensor_initialization.hpp"
+#include "ck_tile/builder/testing/testing_reflect.hpp"
+#include "ck_tile/builder/testing/conv/args.hpp"
+#include "ck_tile/builder/testing/conv/fwd.hpp"
+#include "ck_tile/builder/testing/error.hpp"
+
+/// This file deals with the backward data-specific details of running grouped
+/// convolution backwards data operations. It mainly defines the data
+/// structures (`Input` and `Output`), initialization, and validation. Note
+/// that for this operation specifically, many of the operations are
+/// implemented automatically via testing_reflect.hpp.
+
+namespace ck_tile::builder::test {
+
+/// @brief `Inputs` specialization for backwards data convolution.
+///
+/// @tparam SIGNATURE Backwards data convolution signature.
+///
+/// @see Inputs
+template <auto SIGNATURE>
+    requires ValidConvSignature<SIGNATURE> && ConvDirectionIsBackwardData<SIGNATURE>
+struct Inputs<SIGNATURE>
+{
+    void* weight;
+    void* output;
+
+    // See testing_reflect.hpp
+    static void reflect(const Args<SIGNATURE>& args, const auto& inspect)
+    {
+        inspect("weight", args.make_weight_descriptor(), &Inputs<SIGNATURE>::weight);
+        inspect("output", args.make_output_descriptor(), &Inputs<SIGNATURE>::output);
+    }
+};
+
+/// @brief `Outputs` specialization for backwards data convolution.
+///
+/// @tparam SIGNATURE Backward data convolution signature.
+///
+/// @see Outputs
+template <auto SIGNATURE>
+    requires ValidConvSignature<SIGNATURE> && ConvDirectionIsBackwardData<SIGNATURE>
+struct Outputs<SIGNATURE>
+{
+    void* input;
+
+    // See testing_reflect.hpp
+    static void reflect(const Args<SIGNATURE>& args, const auto& inspect)
+    {
+        inspect("input", args.make_input_descriptor(), &Outputs<SIGNATURE>::input);
+    }
+};
+
+/// @brief `init_inputs()` specialization for backwards convolution.
+///
+/// @tparam SIGNATURE Backward data convolution signature.
+///
+/// @see init_inputs()
+template <auto SIGNATURE>
+    requires ValidConvSignature<SIGNATURE> && ConvDirectionIsBackwardData<SIGNATURE>
+void init_inputs(const Args<SIGNATURE>& args, Inputs<SIGNATURE> inputs)
+{
+    init_tensor_buffer_uniform_fp(inputs.weight, args.make_weight_descriptor(), -2.0f, 2.0f);
+    init_tensor_buffer_uniform_fp(inputs.output, args.make_output_descriptor(), -2.0f, 2.0f);
+}
+
+} // namespace ck_tile::builder::test
diff --git a/experimental/builder/include/ck_tile/builder/testing/conv/ck_tile.hpp b/experimental/builder/include/ck_tile/builder/testing/conv/ck_tile.hpp
index 862d965e5e..ae026d8825 100644
--- a/experimental/builder/include/ck_tile/builder/testing/conv/ck_tile.hpp
+++ b/experimental/builder/include/ck_tile/builder/testing/conv/ck_tile.hpp
@@ -6,6 +6,7 @@
 #include "ck_tile/builder/testing/testing.hpp"
 #include "ck_tile/builder/testing/conv/fwd.hpp"
 #include "ck_tile/builder/testing/conv/bwd_weight.hpp"
+#include "ck_tile/builder/testing/conv/bwd_data.hpp"
 #include "ck_tile/builder/factory/helpers/ck_tile/conv_tile_tensor_type.hpp"
 #include "ck_tile/host/kernel_launch.hpp"
 #include "ck_tile/ops/gemm.hpp"
@@ -35,6 +36,29 @@ concept CkTileConvInstance = requires(Conv&) {
     { Conv::BlockSize() };
 };
 
+template <auto SIGNATURE>
+std::size_t gemm_split_k_output_size(auto kargs)
+{
+    std::size_t zeroing_size = 0;
+    if constexpr(ConvDirectionIsBackwardWeight<SIGNATURE>)
+    {
+        zeroing_size = std::accumulate(std::begin(kargs.wei_g_k_c_xs_lengths.data),
+                                       std::end(kargs.wei_g_k_c_xs_lengths.data),
+                                       1,
+                                       std::multiplies<std::size_t>());
+    }
+
+    if constexpr(ConvDirectionIsBackwardData<SIGNATURE>)
+    {
+        zeroing_size = std::accumulate(std::begin(kargs.in_g_n_c_wis_lengths.data),
+                                       std::end(kargs.in_g_n_c_wis_lengths.data),
+                                       1,
+                                       std::multiplies<std::size_t>());
+    }
+
+    return zeroing_size;
+}
+
 template <auto SIGNATURE, typename InDataType, typename WeiDataType, typename OutDataType>
 [[nodiscard]] RunResult run(CkTileConvInstance<SIGNATURE> auto& conv,
                             const Args<SIGNATURE>& args,
@@ -58,10 +82,8 @@ template <auto SIGNATURE, typename InDataType, typename WeiDataType, typename Ou
         return RunResult::not_supported("unsupported ck_tile arguments");
 
     using Types = ck_tile::builder::factory::internal::TileConvTensorTypes<SIGNATURE.data_type>;
-    const std::size_t zeroing_size = std::accumulate(std::begin(kargs.wei_g_k_c_xs_lengths.data),
-                                                     std::end(kargs.wei_g_k_c_xs_lengths.data),
-                                                     1,
-                                                     std::multiplies<std::size_t>());
+
+    const std::size_t zeroing_size = gemm_split_k_output_size<SIGNATURE>(kargs);
 
     auto preprocess = [&]() {
         if constexpr(ConvDirectionIsBackwardWeight<SIGNATURE>)
@@ -75,6 +97,18 @@ template <auto SIGNATURE, typename InDataType, typename WeiDataType, typename Ou
                                    s_conf.stream_id_));
             }
         }
+
+        if constexpr(ConvDirectionIsBackwardData<SIGNATURE>)
+        {
+            if(kargs.k_batch > 1)
+            {
+                ck_tile::hip_check_error(
+                    hipMemsetAsync(kargs.in_ptr,
+                                   0,
+                                   zeroing_size * sizeof(typename Types::EDataType),
+                                   s_conf.stream_id_));
+            }
+        }
     };
 
     constexpr index_t minimum_occupancy =
@@ -293,4 +327,26 @@ template <auto SIGNATURE>
                        s_conf);
 }
 
+/// @brief `run()` specialization for backwards data convolution and CK Tile.
+///
+/// @tparam SIGNATURE Backward data convolution signature.
+/// @returns RunResult about how the operation completed (or not).
+///
+/// @see run()
+template <auto SIGNATURE>
+    requires ConvDirectionIsBackwardData<SIGNATURE>
+[[nodiscard]] RunResult run(CkTileConvInstance<SIGNATURE> auto& conv,
+                            const Args<SIGNATURE>& args,
+                            const Inputs<SIGNATURE>& inputs,
+                            const Outputs<SIGNATURE>& outputs,
+                            const ck_tile::stream_config s_conf = {})
+{
+    return detail::run(conv,
+                       args,
+                       static_cast<void*>(outputs.input),
+                       static_cast<const void*>(inputs.weight),
+                       static_cast<const void*>(inputs.output),
+                       s_conf);
+}
+
 } // namespace ck_tile::builder::test
diff --git a/experimental/builder/include/ck_tile/builder/testing/conv/reference.hpp b/experimental/builder/include/ck_tile/builder/testing/conv/reference.hpp
index 169d0741ff..50f97e7397 100644
--- a/experimental/builder/include/ck_tile/builder/testing/conv/reference.hpp
+++ b/experimental/builder/include/ck_tile/builder/testing/conv/reference.hpp
@@ -134,4 +134,26 @@ template <auto SIGNATURE>
     return detail::run(conv, args, inputs.input, outputs.weight, inputs.output);
 }
 
+/// @brief Concept for checking whether this is the reference convolution
+/// backward data implementation.
+template <typename Conv, auto SIGNATURE>
+concept RefConvBwdDataInstance =
+    detail::RefConvInstance<Conv, SIGNATURE, void*, const void*, const void*> &&
+    ConvDirectionIsBackwardData<SIGNATURE>;
+
+/// @brief `run()` specialization for the reference backward data implementation.
+///
+/// @tparam SIGNATURE The signature of the operation to perform. Must be backwards data.
+/// @returns RunResult about how the operation completed (or not).
+///
+/// @see run()
+template <auto SIGNATURE>
+[[nodiscard]] RunResult run(RefConvBwdDataInstance<SIGNATURE> auto& conv,
+                            const Args<SIGNATURE>& args,
+                            const Inputs<SIGNATURE>& inputs,
+                            const Outputs<SIGNATURE>& outputs)
+{
+    return detail::run(conv, args, outputs.input, inputs.weight, inputs.output);
+}
+
 } // namespace ck_tile::builder::test
diff --git a/experimental/grouped_convolution_tile_instances/CMakeLists.txt b/experimental/grouped_convolution_tile_instances/CMakeLists.txt
index 51e24fc476..94639c65ca 100644
--- a/experimental/grouped_convolution_tile_instances/CMakeLists.txt
+++ b/experimental/grouped_convolution_tile_instances/CMakeLists.txt
@@ -31,6 +31,11 @@ if(GPU_TARGETS MATCHES "gfx9")
   add_instance_library(device_grouped_conv_bwd_weight_tile_instances ${GROUPED_CONV_BWD_WEIGHT_TILE})
   target_include_directories(device_grouped_conv_bwd_weight_tile_instances PRIVATE
         "${PROJECT_SOURCE_DIR}/experimental/builder/test/utils")
-
   target_compile_options(device_grouped_conv_bwd_weight_tile_instances PRIVATE -DCK_TILE_FLOAT_TO_BFLOAT16_DEFAULT=0)
+
+  file(GLOB_RECURSE GROUPED_CONV_BWD_DATA_TILE "${CMAKE_CURRENT_BINARY_DIR}/backward_data/*.cpp")
+  add_instance_library(device_grouped_conv_bwd_data_tile_instances ${GROUPED_CONV_BWD_DATA_TILE})
+  target_include_directories(device_grouped_conv_bwd_data_tile_instances PRIVATE
+        "${PROJECT_SOURCE_DIR}/experimental/builder/test/utils")
+  target_compile_options(device_grouped_conv_bwd_data_tile_instances PRIVATE -DCK_TILE_FLOAT_TO_BFLOAT16_DEFAULT=0)
 endif()
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_bf16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_bf16.conf
index 4ee0de66d1..0623e6358c 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_bf16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_bf16.conf
@@ -1,82 +1,82 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,false,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,128,32,8,8,32,32,4,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,64,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,64,32,8,8,32,32,2,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,32,32,8,8,32,32,2,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,32,64,32,8,8,32,32,1,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,false,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,128,32,8,8,32,32,4,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,64,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,bf16,bf16,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,2,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp16.conf
index 4ee0de66d1..ff096e2275 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp16.conf
@@ -1,82 +1,82 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,fp16,fp16,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,2,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,2,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,4,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,2,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,4,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,2,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp32.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp32.conf
index 0391d33eb7..e4c18b5b2f 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp32.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/ndhwgc_fp32.conf
@@ -1,70 +1,70 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Default, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Default, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Default, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,4,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,32,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,false,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,128,32,8,8,32,32,4,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,64,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,64,32,8,8,32,32,2,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,32,32,8,8,32,32,2,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,32,64,32,8,8,32,32,1,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,4,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,32,1,4),1,1,Default,fp32,fp32,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_bf16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_bf16.conf
index 4ee0de66d1..16a93f0066 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_bf16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_bf16.conf
@@ -1,82 +1,82 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,false,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,128,32,8,8,32,32,4,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,2,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,4,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,2,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp16.conf
index 4ee0de66d1..39893398a0 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp16.conf
@@ -1,82 +1,82 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Default, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Default, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,false,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,128,32,8,8,32,32,4,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,64,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,64,32,8,8,32,32,2,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,32,32,8,8,32,32,2,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,32,64,32,8,8,32,32,1,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,256,32,8,8,32,32,2,4,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,64,1),Seq(0,2,1),Seq(0,2,1),1,4,4,false,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,4,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,2,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp32.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp32.conf
index 0391d33eb7..9f6d82f4ed 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp32.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/profiler/nhwgc_fp32.conf
@@ -1,70 +1,70 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Default, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Default, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Default, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Default, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Default, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 1, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 256, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 32, 64, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 4, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Default, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Default, 16, 16, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,64,32,8,8,32,32,2,2,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,4,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
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+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,4,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,4,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,32,8,8,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,2,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_bf16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_bf16.conf
index c5e1b20cff..47e2daa82b 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_bf16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_bf16.conf
@@ -1,16 +1,16 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,2,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp16.conf
index c5e1b20cff..ff91db93e8 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp16.conf
@@ -1,16 +1,16 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,2,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp32.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp32.conf
index fd3a1bbda8..c7fd5038b8 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp32.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/ndhwgc_fp32.conf
@@ -1,14 +1,14 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,32,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<3,NDHWGK,GKZYXC,EmptyTuple,NDHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_bf16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_bf16.conf
index c5e1b20cff..f46c741ee6 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_bf16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_bf16.conf
@@ -1,16 +1,16 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,2,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,bf16,bf16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,bf16,bf16,fp32,EmptyTuple,bf16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,bf16,bf16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp16.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp16.conf
index c5e1b20cff..adeb3b5ef3 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp16.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp16.conf
@@ -1,16 +1,16 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 8, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Default, 32, 32, 1, 1, 16, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 64, 16, 16, Filter1x1Stride1Pad0, 32, 32, 1, 1, 16, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 64, 16, 16, Filter1x1Stride1Pad0, 16, 16, 1, 1, 16, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,32,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,32,1,8),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,2,1),Seq(0,2,1),Seq(0,2,1),1,8,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,8,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,8,1,32),1,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,64,16,16,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),8,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp16,fp16,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp16,fp16,fp32,EmptyTuple,fp16,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,64,16,16,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,16,4,true,Seq(4,4,16),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp16,fp16,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp32.conf b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp32.conf
index fd3a1bbda8..468b4515ac 100644
--- a/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp32.conf
+++ b/experimental/grouped_convolution_tile_instances/configs/backward_data/tests/nhwgc_fp32.conf
@@ -1,14 +1,14 @@
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 256, 128, 32, 8, 8, Default, 32, 32, 4, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 64, 128, 32, 8, 8, Default, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 32, 128, 32, 8, 8, Default, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<128, 128, 32, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 2, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 128, 32, 8, 8, Filter1x1Stride1Pad0, 32, 32, 1, 2, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 16, 64, 32, 8, 8, Default, 16, 16, 1, 4, 4, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Default, 16, 16, 4, 1, 1, 4, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<64, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 4, 1, 4, 1, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Default, 32, 32, 1, 1, 4, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Default, 16, 16, 1, 1, 8, 2, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 128, 32, 16, 4, 4, Filter1x1Stride1Pad0, 32, 32, 1, 1, 4, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 32, 8, 8, Filter1x1Stride1Pad0, 16, 16, 1, 1, 8, 8, 1, 1>
-DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1<256, 64, 16, 16, 4, 4, Filter1x1Stride1Pad0, 16, 16, 1, 1, 4, 1, 1, 1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,256,128,32,8,8,32,32,4,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,64,128,32,8,8,32,32,2,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,128,32,128,32,8,8,32,32,1,2,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,16,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,128,128,32,32,8,8,32,32,2,1,Seq(4,32,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,1),Seq(0,2,1),Seq(0,2,1),1,1,4,true,1,1,Seq(1,32,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,128,32,8,8,32,32,2,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,128,32,8,8,32,32,1,2,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,32,1),Seq(0,2,1),Seq(0,2,1),1,4,4,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,16,64,32,8,8,16,16,1,4,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,1,8,true,Seq(4,4,1),Seq(0,2,1),Seq(0,2,1),1,4,8,true,1,1,Seq(1,16,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,64,64,16,32,8,8,16,16,4,1,Seq(4,16,1),Seq(1,0,2),Seq(1,0,2),2,4,8,true,Seq(4,16,1),Seq(0,2,1),Seq(0,2,1),1,1,8,true,1,1,Seq(1,16,1,4),1,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,8,4),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,16,1,16),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Default,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,8,8),Seq(0,2,1),Seq(0,2,1),1,2,1,true,1,1,Seq(1,32,1,8),2,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,128,32,16,4,4,32,32,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,4,4),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,32,1,8),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,32,8,8,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,8,4,true,Seq(4,2,8),Seq(0,2,1),Seq(0,2,1),1,8,1,true,1,1,Seq(1,64,1,4),4,1,Default,fp32,fp32,1,1>
+DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle<2,NHWGK,GKYXC,EmptyTuple,NHWGC,fp32,fp32,fp32,EmptyTuple,fp32,PassThrough,PassThrough,PassThrough,Filter1x1Stride1Pad0,1,1,1,256,64,16,16,4,4,16,16,1,1,Seq(4,64,1),Seq(1,0,2),Seq(1,0,2),2,4,4,true,Seq(4,16,4),Seq(0,2,1),Seq(0,2,1),1,1,1,true,1,1,Seq(1,16,1,16),1,1,Default,fp32,fp32,1,1>
diff --git a/experimental/grouped_convolution_tile_instances/generate_instances.py b/experimental/grouped_convolution_tile_instances/generate_instances.py
index a25dc9c262..05023705f2 100755
--- a/experimental/grouped_convolution_tile_instances/generate_instances.py
+++ b/experimental/grouped_convolution_tile_instances/generate_instances.py
@@ -144,6 +144,7 @@ def copy_includes(instances_path):
     output_dir.mkdir(parents=True, exist_ok=True)
     shutil.copy(f"{inc_dir}/include/instance_includes.inc", instances_path)
     shutil.copy(f"{inc_dir}/include/instance_run.inc", instances_path)
+    shutil.copy(f"{inc_dir}/include/signatures.hpp", instances_path)
 
 def generate_calls_inc(instances, problem_name, direction, filter_pattern):
     generate_dir = Path(__file__).resolve().parent
@@ -487,8 +488,131 @@ def parse_bwd_weight_instances(instances, problem_name):
 
 def parse_bwd_data_instances(instances, problem_name):
     convs = []
-    print("Parsing backward data instances is not supported yet, skipping all instances.")
-    # TODO: Implement parsing logic for backward data instances.
+
+    for instance_id, instance in enumerate(instances):
+        if instance.find("#") != -1 or instance.find(";") != -1:
+            continue
+
+        start = instance.index('<') + 1
+        end = instance.rindex('>')
+        params_str = instance[start:end]
+        args = parse_instance_string(params_str)
+
+        is_v1_instance = instance.find("Xdl_CShuffle<") != -1
+        
+        if is_v1_instance:
+            if len(args) != 51:
+                raise RuntimeError(f"Wrong number of parameters in the V1 XDL CShuffle instance string: {instance}\n" + 
+                                    f"Expected 51 parameters for V1 instance. Found {len(args)} parameters.")
+        else:
+            raise RuntimeError(f"Only V1 XDL CShuffle instances are supported for backward data. Found instance: {instance}")
+        
+        spec = args[13]
+        block_size = int(args[17])
+        m_per_block = int(args[18])
+        n_per_block = int(args[19])
+        k_per_block = int(args[20])
+        ak1 = int(args[21])
+        bk1 = int(args[22])
+        m_per_xdl = int(args[23])
+        n_per_xdl = int(args[24])
+        m_xdl_per_wave = int(args[25])
+        n_xdl_per_wave = int(args[26])
+        a_scalar_per_vector = int(args[31])
+        b_scalar_per_vector = int(args[38])
+        c_scalar_per_vector = int(args[44])
+
+        if ak1 != bk1:
+            raise RuntimeError(f"Not supported instance {instance_id} since ak1 != bk1. ak1: {ak1}, bk1: {bk1} in instance: {instance}")
+        
+        k1 = min(ak1, bk1)
+
+        # TODO: Do we need split image for 3D bwd data convs?
+        split_image = False
+
+        # Default optimization parameters
+        num_groups_to_merge = 1
+        is_two_stage_instance = False
+        is_explicit_gemm = False
+        num_wave_groups = 1
+        direct_load = False
+
+        # Block GEMM pipeline parameters
+        block_gemm_pipeline_scheduler = args[46]
+        if block_gemm_pipeline_scheduler == "Default":
+            block_gemm_pipeline_scheduler = "Intrawave"
+
+        blk_gemm_pipeline_version = "v1"
+        if block_gemm_pipeline_scheduler == "Interwave":
+            blk_gemm_pipeline_version = "v1"
+
+        # Sanity check for Block GEMM pipeline parameters
+        # Scheduler must be either Intrawave or Interwave.
+        # Version must be from v1 to v5
+        if block_gemm_pipeline_scheduler not in ["Intrawave", "Interwave"]:
+            raise RuntimeError(f"Invalid Block GEMM pipeline scheduler: {block_gemm_pipeline_scheduler} in instance: {instance}")
+        if blk_gemm_pipeline_version not in ["v1", "v2", "v3", "v4", "v5"]:
+            raise RuntimeError(f"Invalid Block GEMM pipeline version: {blk_gemm_pipeline_version} in instance: {instance}")
+
+        double_smem_buffer = blk_gemm_pipeline_version == "v4"
+        scheduler = block_gemm_pipeline_scheduler
+        pipeline_version = blk_gemm_pipeline_version.upper()
+
+        # Old CK pipeline version V5 maps to V6 for CK Tile
+        if pipeline_version == "V5":
+            pipeline_version = "V6"
+
+        if direct_load:
+            if pipeline_version == "V1":
+                pipeline_version = "ASYNC_V1"
+            elif pipeline_version == "V4":
+                pipeline_version = "ASYNC_V4"
+            else:
+                raise RuntimeError(
+                    f"Not supported pipeline for direct load: pipeline_version={pipeline_version} in instance: {instance}"
+                )
+
+        m_warp = int(m_per_block / (m_per_xdl * m_xdl_per_wave))
+        n_warp = int(n_per_block / (n_per_xdl * n_xdl_per_wave))
+        warp_size = 64
+        k_warp = int(block_size / (warp_size * m_warp * n_warp))
+        dtype = get_dtype(problem_name)
+
+        k_per_xdl = max(k1, get_k_mfma(dtype, m_per_xdl, n_per_xdl))
+
+        if check_vectors(a_scalar_per_vector, b_scalar_per_vector, c_scalar_per_vector) == False:
+            print(f"Skipping instance {instance_id} with irregular load since it's not supported yet.")
+            continue
+        if pipeline_version == "V6":
+            print(f"Skipping instance {instance_id} with V6 since it's not supported yet.")
+            continue
+
+        # Check vector sizes for A and B tensors - we cannot oversubscribe.
+        num_tile_elements_a = m_per_xdl * k_per_xdl
+        num_tile_elements_b = n_per_xdl * k_per_xdl
+        max_vector_size_a = max(1, num_tile_elements_a // block_size)
+        max_vector_size_b = max(1, num_tile_elements_b // block_size)
+        a_scalar_per_vector = min(a_scalar_per_vector, max_vector_size_a)
+        b_scalar_per_vector = min(b_scalar_per_vector, max_vector_size_b)
+
+        conv = ConvInstanceTemplateParams(
+            spec,
+            [m_per_block, n_per_block, k_per_block],
+            [m_warp, n_warp, k_warp],
+            [m_per_xdl, n_per_xdl, k_per_xdl],
+            double_smem_buffer,
+            num_wave_groups,
+            is_two_stage_instance,
+            pipeline_version,
+            scheduler,
+            [a_scalar_per_vector, b_scalar_per_vector, c_scalar_per_vector],
+            num_groups_to_merge,
+            split_image,
+            is_explicit_gemm,
+            instance_id,
+        )
+        convs.append(conv)
+            
     return convs
 
 def generate_instances_fwd(instances, problem_name, config, filter_pattern, instances_path):
diff --git a/experimental/grouped_convolution_tile_instances/include/instance_includes.inc b/experimental/grouped_convolution_tile_instances/include/instance_includes.inc
index b5e0216bd6..8a64bca209 100644
--- a/experimental/grouped_convolution_tile_instances/include/instance_includes.inc
+++ b/experimental/grouped_convolution_tile_instances/include/instance_includes.inc
@@ -1,177 +1,8 @@
 #include "../../builder/test/utils/ckb_conv_tile_test_configs.hpp"
 #include "ck_tile/builder/testing/conv/fwd.hpp"
 #include "ck_tile/builder/testing/conv/bwd_weight.hpp"
-#include "ck_tile/builder/testing/conv/ck_tile.hpp"
+#include "ck_tile/builder/testing/conv/bwd_data.hpp"
+#include "signatures.hpp"
 
-namespace ckb = ck_tile::builder;
-namespace ckt = ck_tile::builder::test;
 namespace cku = ck_tile::builder::test_utils;
 namespace ckf = ck_tile::builder::factory;
-
-namespace ck_tile::builder::profiling {
-
-constexpr auto SIGNATURE_NHWGC_FP32_FWD =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_BF16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_FP16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP32_FWD =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_BF16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-// Backward Weight Signatures
-constexpr auto SIGNATURE_NHWGC_FP32_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_BF16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_FP16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP32_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_BF16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-// Backward Data Signatures
-constexpr auto SIGNATURE_NHWGC_FP32_BWD_DATA =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_BF16_BWD_DATA =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_FP16_BWD_DATA =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP32_BWD_DATA =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_BF16_BWD_DATA =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP16_BWD_DATA =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-} // namespace ck_tile::builder::profiling
diff --git a/experimental/grouped_convolution_tile_instances/include/signatures.hpp b/experimental/grouped_convolution_tile_instances/include/signatures.hpp
new file mode 100644
index 0000000000..a14c0a8b1c
--- /dev/null
+++ b/experimental/grouped_convolution_tile_instances/include/signatures.hpp
@@ -0,0 +1,186 @@
+// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
+// SPDX-License-Identifier: MIT
+
+#pragma once
+
+#include <tuple>
+
+#include "../../builder/test/impl/conv_signature_types.hpp"
+#include "ck_tile/builder/testing/conv/ck_tile.hpp"
+
+namespace ck_tile::builder::profiling {
+
+namespace ckb = ck_tile::builder;
+namespace ckt = ck_tile::builder::test;
+
+constexpr auto SIGNATURE_NHWGC_FP32_FWD =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::FORWARD,
+                       .data_type              = ckb::DataType::FP32,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NHWGC_BF16_FWD =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::FORWARD,
+                       .data_type              = ckb::DataType::BF16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NHWGC_FP16_FWD =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::FORWARD,
+                       .data_type              = ckb::DataType::FP16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_FP32_FWD =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::FORWARD,
+                       .data_type              = ckb::DataType::FP32,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_BF16_FWD =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::FORWARD,
+                       .data_type              = ckb::DataType::BF16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_FP16_FWD =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::FORWARD,
+                       .data_type              = ckb::DataType::FP16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+/////////////////////////////////////////
+// BWD WEIGHT signatures
+//////////////////////////////////////////
+
+constexpr auto SIGNATURE_NHWGC_BF16_BWD_WEIGHT =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
+                       .data_type              = ckb::DataType::BF16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NHWGC_FP16_BWD_WEIGHT =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
+                       .data_type              = ckb::DataType::FP16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NHWGC_FP32_BWD_WEIGHT =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
+                       .data_type              = ckb::DataType::FP32,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_BF16_BWD_WEIGHT =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
+                       .data_type              = ckb::DataType::BF16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_FP16_BWD_WEIGHT =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
+                       .data_type              = ckb::DataType::FP16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_FP32_BWD_WEIGHT =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
+                       .data_type              = ckb::DataType::FP32,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+/////////////////////////////////////////
+// BWD DATA signatures
+//////////////////////////////////////////
+
+constexpr auto SIGNATURE_NHWGC_BF16_BWD_DATA =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
+                       .data_type              = ckb::DataType::BF16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NHWGC_FP16_BWD_DATA =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
+                       .data_type              = ckb::DataType::FP16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NHWGC_FP32_BWD_DATA =
+    ckt::ConvSignature{.spatial_dim            = 2,
+                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
+                       .data_type              = ckb::DataType::FP32,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_BF16_BWD_DATA =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
+                       .data_type              = ckb::DataType::BF16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_FP16_BWD_DATA =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
+                       .data_type              = ckb::DataType::FP16,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+constexpr auto SIGNATURE_NDHWGC_FP32_BWD_DATA =
+    ckt::ConvSignature{.spatial_dim            = 3,
+                       .direction              = ckb::ConvDirection::BACKWARD_DATA,
+                       .data_type              = ckb::DataType::FP32,
+                       .accumulation_data_type = ckb::DataType::FP32,
+                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
+                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
+                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
+
+} // namespace ck_tile::builder::profiling
diff --git a/experimental/grouped_convolution_tile_instances/test-instances.py b/experimental/grouped_convolution_tile_instances/test-instances.py
index 05f0450768..f4fb819f2d 100755
--- a/experimental/grouped_convolution_tile_instances/test-instances.py
+++ b/experimental/grouped_convolution_tile_instances/test-instances.py
@@ -50,6 +50,7 @@ def compile_single_file(cpp_file: Path, project_root: Path, gpu_target: str, ver
             "-D__HIP_PLATFORM_AMD__",
             "-D CK_EXPERIMENTAL_BUILDER=ON",
             "-O3",
+            "-Wno-unknown-warning-option",
             *include_flags,
             str(cpp_file),
             "-o", str(output_file)
@@ -63,10 +64,15 @@ def compile_single_file(cpp_file: Path, project_root: Path, gpu_target: str, ver
                 timeout=300  # 5 minute timeout per file
             )
             
+            print(f"\n\n    Command: {' '.join(cmd)}\n") if verbose else None
+
             if result.returncode == 0:
                 return True, ""
             else:
                 # Extract the key error message
+                if verbose and result.stderr:
+                    print(f"    {result.stderr}")
+                    print()
                 error_output = result.stderr
                 return False, error_output
                 
diff --git a/include/ck_tile/ops/grouped_convolution/utils/transform_conv_bwd_data_to_gemm.hpp b/include/ck_tile/ops/grouped_convolution/utils/transform_conv_bwd_data_to_gemm.hpp
index deb4dcb3db..84f4ebe292 100644
--- a/include/ck_tile/ops/grouped_convolution/utils/transform_conv_bwd_data_to_gemm.hpp
+++ b/include/ck_tile/ops/grouped_convolution/utils/transform_conv_bwd_data_to_gemm.hpp
@@ -634,22 +634,40 @@ struct TransformConvBwdDataToGemm
         constexpr auto CStride = I1;
 
         // TODO Add support for NumGroupsToMerge > 1
-        return make_naive_tensor_descriptor(
-            make_tuple(N_, Di_, Hi_, Wi_, C_),
-            make_tuple(NStride, DiStride, HiStride, WiStride, CStride),
-            number<VectorSizeC>{},
-            I1);
+        if constexpr(ConvSpec == ConvolutionSpecialization::Filter1x1Stride1Pad0)
+        {
+            return make_naive_tensor_descriptor(make_tuple(N_ * Di_ * Hi_ * Wi_, C_),
+                                                make_tuple(WiStride, CStride),
+                                                number<VectorSizeC>{},
+                                                I1);
+        }
+        else
+        {
+            return make_naive_tensor_descriptor(
+                make_tuple(N_, Di_, Hi_, Wi_, C_),
+                make_tuple(NStride, DiStride, HiStride, WiStride, CStride),
+                number<VectorSizeC>{},
+                I1);
+        }
     }
 
     template <index_t NDim = NDimSpatial, typename std::enable_if<NDim == 3, bool>::type = false>
     CK_TILE_HOST auto make_wei_grid_desc() const
     {
         // GKZYXC
-        return make_naive_tensor_descriptor(
-            make_tuple(K_, Z_, Y_, X_, C_),
-            make_tuple(C_ * X_ * Y_ * Z_, C_ * X_ * Y_, C_ * X_, C_, I1),
-            number<VectorSizeB>{},
-            I1);
+        if constexpr(ConvSpec == ConvolutionSpecialization::Filter1x1Stride1Pad0)
+        {
+            return make_naive_tensor_descriptor(
+                make_tuple(K_, C_), make_tuple(C_, I1), number<VectorSizeB>{}, I1);
+        }
+        else
+        {
+            return make_naive_tensor_descriptor(
+                make_tuple(K_, Z_, Y_, X_, C_),
+                make_tuple(C_ * X_ * Y_ * Z_, C_ * X_ * Y_, C_ * X_, C_, I1),
+                number<VectorSizeB>{},
+                I1);
+        }
     }
     // TODO: implement ck_tile::tensor_layout::convolution that describe packed/strided dimemsion as
     // properties
diff --git a/profiler/include/profiler/grouped_convolution_backward_data_tile_algs.hpp b/profiler/include/profiler/grouped_convolution_backward_data_tile_algs.hpp
new file mode 100644
index 0000000000..2fa2019b07
--- /dev/null
+++ b/profiler/include/profiler/grouped_convolution_backward_data_tile_algs.hpp
@@ -0,0 +1,204 @@
+// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
+// SPDX-License-Identifier: MIT
+
+#pragma once
+
+#include <iostream>
+#include <tuple>
+
+#include "../../experimental/builder/test/utils/conv_algorithm_type_utils.hpp"
+#include "grouped_convolution_signatures.hpp"
+#include "ck_tile/ref/naive_grouped_conv_bwd_data_gpu.hpp"
+
+#include "ck_tile/builder/testing/filter_extent.hpp"
+#include "ck_tile/builder/testing/conv/ck_tile.hpp"
+#include "ck_tile/builder/testing/conv/reference.hpp"
+#include "ck_tile/builder/conv_builder.hpp"
+#include "tile_profiler_utils.hpp"
+
+namespace ck_tile::builder::profiling {
+
+namespace ckb = ck_tile::builder;
+namespace ckt = ck_tile::builder::test;
+
+#include "../../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_ndhwgc_fp32.inc"
+#include "../../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_nhwgc_fp32.inc"
+#include "../../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_nhwgc_bf16.inc"
+#include "../../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_nhwgc_fp16.inc"
+#include "../../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_ndhwgc_bf16.inc"
+#include "../../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_ndhwgc_fp16.inc"
+
+template <auto SIGNATURE>
+void run_cpu_validation(const ckt::Args<SIGNATURE>& args,
+                        const ckt::Outputs<SIGNATURE>& outputs,
+                        const ckt::Outputs<SIGNATURE>& reference)
+{
+    using DataType =
+        std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP32,
+                           float,
+                           std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP16,
+                                              ck_tile::half_t,
+                                              ck_tile::bfloat16_t>>;
+    const auto conv_param = args.to_ck_tile_conv_param();
+
+    const std::size_t input_bytes_num = conv_param.template GetInputByte<DataType>();
+    std::vector<DataType> in(input_bytes_num / sizeof(DataType));
+    std::vector<DataType> ref(input_bytes_num / sizeof(DataType));
+    HIP_CHECK_ERROR(
+        hipMemcpy(&ref.data()[0], reference.input, input_bytes_num, hipMemcpyDeviceToHost));
+    HIP_CHECK_ERROR(
+        hipMemcpy(&in.data()[0], outputs.input, input_bytes_num, hipMemcpyDeviceToHost));
+    ck_tile::check_err(in, ref, "\tError: Incorrect results!");
+}
+
+/// @brief `run_grouped_conv_backward_data_tile_algs()` run all grouped conv fwd instances.
+///
+/// @tparam SIGNATURE Forward convolution signature.
+///
+/// @see run_grouped_conv_backward_data_tile_algs()
+template <auto SIGNATURE>
+std::tuple<bool, float, std::string, int, int>
+run_grouped_conv_backward_data_tile_algs(const ckt::Args<SIGNATURE>& args,
+                                         const std::string& split_k,
+                                         const index_t instance_index,
+                                         const ckt::Inputs<SIGNATURE>& inputs,
+                                         const ckt::Outputs<SIGNATURE>& outputs,
+                                         const ck_tile::stream_config& s_conf)
+{
+    float best_avg_time = std::numeric_limits<float>::max();
+    std::string best_op_name, op_name;
+    int best_split_k                = 0;
+    ck::index_t best_instance_index = -1;
+    bool is_supported               = false;
+    float avg_time;
+    bool all_instances_valid = true;
+
+    using DataType =
+        std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP32,
+                           float,
+                           std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP16,
+                                              ck_tile::half_t,
+                                              ck_tile::bfloat16_t>>;
+
+    auto reference = ckt::alloc_outputs(args);
+    using ReferenceInstance =
+        typename ckb::ConvBuilder<SIGNATURE, ckt::ConvAlgorithm_Reference{}>::Instance;
+    auto ref_conv   = ReferenceInstance{};
+    auto ref_result = ckt::run(ref_conv, args, inputs, reference.get());
+
+    const auto conv_param = args.to_ck_tile_conv_param();
+
+    // Get max possible value in the output
+    const std::size_t input_bytes_num = conv_param.template GetInputByte<DataType>();
+    std::vector<DataType> ref(input_bytes_num / sizeof(DataType));
+    HIP_CHECK_ERROR(
+        hipMemcpy(&ref.data()[0], reference.get().input, input_bytes_num, hipMemcpyDeviceToHost));
+    const float max_accumulated_value = *std::max_element(ref.begin(), ref.end());
+
+    const index_t num_accums = conv_param.K_;
+
+    // BWD data doesn't support split-K autodeduce value -1
+    auto split_k_values = get_split_k_values(split_k);
+    split_k_values.erase(std::remove(split_k_values.begin(), split_k_values.end(), -1),
+                         split_k_values.end());
+
+    index_t num_kernel = 0;
+    auto run_alg       = [&](auto&& run_alg_func) {
+        num_kernel++;
+        // Skip if a specific instance was requested and this isn't it
+        const bool running_specific_instance = (instance_index != -1);
+        const bool current_is_target         = (num_kernel - 1 == instance_index);
+        if(running_specific_instance && !current_is_target)
+        {
+            return;
+        }
+
+        for(auto& k_batch : split_k_values)
+        {
+            ckt::Args<SIGNATURE> args_k_batch = args;
+            args_k_batch.k_batch              = k_batch;
+            std::tie(is_supported, avg_time, op_name) =
+                run_alg_func(args_k_batch, inputs, outputs, s_conf);
+            if(is_supported)
+            {
+                ckt::ValidationReport report;
+                auto&& [rtol, atol] =
+                    get_rtol_atol<SIGNATURE>(num_accums, k_batch, max_accumulated_value);
+                ckt::Outputs<SIGNATURE>::reflect(
+                    args_k_batch,
+                    [&](std::string_view name,
+                        const auto& desc,
+                        void* ckt::Outputs<SIGNATURE>::*ptr) {
+                        report.check(name, desc, outputs.*ptr, reference.get().*ptr, rtol, atol);
+                    });
+
+                const bool valid = report.get_errors().empty();
+                if(valid)
+                {
+                    if(avg_time < best_avg_time)
+                    {
+                        best_instance_index = num_kernel - 1;
+                    }
+                    best_avg_time = std::min(best_avg_time, avg_time);
+                    best_op_name  = best_avg_time < avg_time ? best_op_name : op_name;
+                    best_split_k  = best_avg_time < avg_time ? best_split_k : k_batch;
+                    std::cout << "[Valid] Perf: " << std::setw(10) << avg_time << " ms," << " "
+                              << op_name << " (instance " << num_kernel - 1 << "), SplitK "
+                              << k_batch << std::endl;
+                }
+                else
+                {
+                    std::cout << "[Error] " << op_name << ", SplitK " << k_batch << std::endl;
+                    for(const auto& error : report.get_errors())
+                    {
+                        std::cout << "\tNumber of incorrect values: " << error.wrong_elements
+                                  << " Is all zero:" << error.is_all_zero()
+                                  << " max err: " << error.max_error << std::endl;
+                        // Check with cpu verification to get a values
+                        run_cpu_validation<SIGNATURE>(args_k_batch, outputs, reference.get());
+                    }
+                    all_instances_valid = false;
+                }
+            }
+            else
+            {
+                std::cout << "[Not supported] " << op_name << ", SplitK " << k_batch << std::endl;
+            }
+        }
+    };
+
+    if constexpr(SIGNATURE == SIGNATURE_NHWGC_FP16_BWD_DATA)
+    {
+#include "../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_nhwgc_fp16_calls.inc"
+    }
+    else if constexpr(SIGNATURE == SIGNATURE_NHWGC_BF16_BWD_DATA)
+    {
+#include "../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_nhwgc_bf16_calls.inc"
+    }
+    else if constexpr(SIGNATURE == SIGNATURE_NHWGC_FP32_BWD_DATA)
+    {
+#include "../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_nhwgc_fp32_calls.inc"
+    }
+    else if constexpr(SIGNATURE == SIGNATURE_NDHWGC_FP16_BWD_DATA)
+    {
+#include "../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_ndhwgc_fp16_calls.inc"
+    }
+    else if constexpr(SIGNATURE == SIGNATURE_NDHWGC_BF16_BWD_DATA)
+    {
+#include "../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_ndhwgc_bf16_calls.inc"
+    }
+    else if constexpr(SIGNATURE == SIGNATURE_NDHWGC_FP32_BWD_DATA)
+    {
+#include "../../experimental/grouped_convolution_tile_instances/instances/backward_data/grouped_convolution_backward_data_tile_ndhwgc_fp32_calls.inc"
+    }
+    else
+    {
+        std::cout << "Signature not supported" << std::endl;
+        return std::make_tuple(
+            false, best_avg_time, best_op_name, best_split_k, best_instance_index);
+    }
+    return std::make_tuple(
+        all_instances_valid, best_avg_time, best_op_name, best_split_k, best_instance_index);
+}
+
+} // namespace ck_tile::builder::profiling
diff --git a/profiler/include/profiler/grouped_convolution_backward_weight_tile_algs.hpp b/profiler/include/profiler/grouped_convolution_backward_weight_tile_algs.hpp
index fb51adb4a7..e79fc44e8d 100644
--- a/profiler/include/profiler/grouped_convolution_backward_weight_tile_algs.hpp
+++ b/profiler/include/profiler/grouped_convolution_backward_weight_tile_algs.hpp
@@ -15,6 +15,7 @@
 #include "ck_tile/builder/testing/conv/ck_tile.hpp"
 #include "ck_tile/builder/testing/conv/reference.hpp"
 #include "ck_tile/builder/conv_builder.hpp"
+#include "tile_profiler_utils.hpp"
 
 namespace ck_tile::builder::profiling {
 
@@ -28,26 +29,6 @@ namespace ckt = ck_tile::builder::test;
 #include "../../../experimental/grouped_convolution_tile_instances/instances/backward_weight/grouped_convolution_backward_weight_tile_ndhwgc_bf16.inc"
 #include "../../../experimental/grouped_convolution_tile_instances/instances/backward_weight/grouped_convolution_backward_weight_tile_ndhwgc_fp16.inc"
 
-std::vector<int> get_split_k_values(const std::string& split_k)
-{
-    std::vector<int> split_k_list = {/*auto deduce value*/ -1, 1, 2, 4, 8, 16, 32, 64, 128};
-
-    if(split_k != "all")
-    {
-        try
-        {
-            int split_k_value = std::stoi(split_k);
-            split_k_list      = {split_k_value};
-        }
-        catch(const std::exception& e)
-        {
-            std::cerr << e.what() << '\n';
-            exit(EXIT_FAILURE);
-        }
-    }
-    return split_k_list;
-}
-
 template <auto SIGNATURE>
 void run_cpu_validation(const ckt::Args<SIGNATURE>& args,
                         const ckt::Outputs<SIGNATURE>& outputs,
@@ -71,36 +52,6 @@ void run_cpu_validation(const ckt::Args<SIGNATURE>& args,
     ck_tile::check_err(wei, ref, "\tError: Incorrect results!");
 }
 
-template <auto SIGNATURE>
-std::tuple<double, double>
-get_rtol_atol(const int num_accums, const int k_batch, const float max_accumulated_value)
-{
-    using WeiDataType =
-        std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP32,
-                           float,
-                           std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP16,
-                                              ck_tile::half_t,
-                                              ck_tile::bfloat16_t>>;
-    using ComputeType = WeiDataType;
-    using AccDataType = float;
-
-    // Assign middle value of the range for auto deduce
-    const int num_accums_split_k = k_batch > 0 ? k_batch : 64;
-    auto rtol = ck_tile::get_relative_threshold<ComputeType, WeiDataType, AccDataType>(
-        num_accums / num_accums_split_k);
-    auto atol = ck_tile::get_absolute_threshold<ComputeType, WeiDataType, AccDataType>(
-        max_accumulated_value / num_accums_split_k, num_accums / num_accums_split_k);
-    // Calculate error due to split_k accumulation
-    auto rtol_split_k =
-        ck_tile::get_relative_threshold<WeiDataType, WeiDataType, WeiDataType>(num_accums_split_k);
-    auto atol_split_k = ck_tile::get_absolute_threshold<WeiDataType, WeiDataType, WeiDataType>(
-        max_accumulated_value, num_accums_split_k);
-    // Use higher threshold
-    rtol = std::max(rtol, rtol_split_k);
-    atol = std::max(atol, atol_split_k);
-    return std::make_tuple(rtol, atol);
-}
-
 /// @brief `run_grouped_conv_backward_weight_tile_algs()` run all grouped conv fwd instances.
 ///
 /// @tparam SIGNATURE Forward convolution signature.
diff --git a/profiler/include/profiler/grouped_convolution_signatures.hpp b/profiler/include/profiler/grouped_convolution_signatures.hpp
index 6917d8588d..7d9384f0cc 100644
--- a/profiler/include/profiler/grouped_convolution_signatures.hpp
+++ b/profiler/include/profiler/grouped_convolution_signatures.hpp
@@ -5,124 +5,5 @@
 
 #include <tuple>
 
-#include "../../experimental/builder/test/impl/conv_signature_types.hpp"
+#include "../../experimental/grouped_convolution_tile_instances/include/signatures.hpp"
 #include "ck_tile/builder/testing/conv/ck_tile.hpp"
-
-namespace ck_tile::builder::profiling {
-
-namespace ckb = ck_tile::builder;
-namespace ckt = ck_tile::builder::test;
-
-constexpr auto SIGNATURE_NHWGC_FP32_FWD =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_BF16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_FP16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP32_FWD =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_BF16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP16_FWD =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::FORWARD,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-/////////////////////////////////////////
-// BWD WEIGHT signatures
-//////////////////////////////////////////
-
-constexpr auto SIGNATURE_NHWGC_BF16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_FP16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NHWGC_FP32_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 2,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_BF16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::BF16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP16_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP16,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-constexpr auto SIGNATURE_NDHWGC_FP32_BWD_WEIGHT =
-    ckt::ConvSignature{.spatial_dim            = 3,
-                       .direction              = ckb::ConvDirection::BACKWARD_WEIGHT,
-                       .data_type              = ckb::DataType::FP32,
-                       .accumulation_data_type = ckb::DataType::FP32,
-                       .input                  = {.config = {.layout = ckb::TensorLayout::NDHWGC}},
-                       .weight                 = {.config = {.layout = ckb::TensorLayout::GKZYXC}},
-                       .output                 = {.config = {.layout = ckb::TensorLayout::NDHWGK}}};
-
-} // namespace ck_tile::builder::profiling
diff --git a/profiler/include/profiler/tile_profiler_utils.hpp b/profiler/include/profiler/tile_profiler_utils.hpp
index eb870d8a61..047c4a3acb 100644
--- a/profiler/include/profiler/tile_profiler_utils.hpp
+++ b/profiler/include/profiler/tile_profiler_utils.hpp
@@ -4,14 +4,70 @@
 #pragma once
 
 #include <vector>
+#include <algorithm>
+#include <cstdlib>
+#include <iostream>
+#include <stdexcept>
+#include <string>
+#include <tuple>
 #include "../../experimental/builder/test/utils/conv_algorithm_type_utils.hpp"
 
 namespace ck_tile::builder::profiling {
 
 namespace ckt = ck_tile::builder::test;
 
+inline std::vector<int> get_split_k_values(const std::string& split_k)
+{
+    std::vector<int> split_k_list = {/*auto deduce value*/ -1, 1, 2, 4, 8, 16, 32, 64, 128};
+
+    if(split_k != "all")
+    {
+        try
+        {
+            int split_k_value = std::stoi(split_k);
+            split_k_list      = {split_k_value};
+        }
+        catch(const std::exception& e)
+        {
+            std::cerr << e.what() << '\n';
+            exit(EXIT_FAILURE);
+        }
+    }
+    return split_k_list;
+}
+
 template <auto SIGNATURE>
-auto parse_conv_args(int arg_idx, char* const argv[])
+inline std::tuple<double, double>
+get_rtol_atol(const int num_accums, const int k_batch, const float max_accumulated_value)
+{
+    using DataType =
+        std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP32,
+                           float,
+                           std::conditional_t<SIGNATURE.data_type == ckb::DataType::FP16,
+                                              ck_tile::half_t,
+                                              ck_tile::bfloat16_t>>;
+    using ComputeType = DataType;
+    using AccDataType = float;
+
+    // Assign middle value of the range for auto deduce
+    const int num_accums_split_k = k_batch > 0 ? k_batch : 64;
+    auto rtol = ck_tile::get_relative_threshold<ComputeType, DataType, AccDataType>(
+        num_accums / num_accums_split_k);
+    auto atol = ck_tile::get_absolute_threshold<ComputeType, DataType, AccDataType>(
+        max_accumulated_value / num_accums_split_k, num_accums / num_accums_split_k);
+    // Calculate error due to split_k accumulation
+    auto rtol_split_k =
+        ck_tile::get_relative_threshold<DataType, DataType, DataType>(num_accums_split_k);
+    auto atol_split_k = ck_tile::get_absolute_threshold<DataType, DataType, DataType>(
+        max_accumulated_value, num_accums_split_k);
+    // Use higher threshold
+    rtol = std::max(rtol, rtol_split_k);
+    atol = std::max(atol, atol_split_k);
+    return std::make_tuple(rtol, atol);
+}
+
+template <auto SIGNATURE>
+inline ckt::Args<SIGNATURE> parse_conv_args(int arg_idx, char* const argv[])
 {
     const std::size_t G = static_cast<size_t>(std::stol(argv[arg_idx++]));
     const std::size_t N = static_cast<size_t>(std::stol(argv[arg_idx++]));
diff --git a/profiler/src/CMakeLists.txt b/profiler/src/CMakeLists.txt
index 2917b79f0b..526d2fa8b2 100644
--- a/profiler/src/CMakeLists.txt
+++ b/profiler/src/CMakeLists.txt
@@ -46,6 +46,7 @@ if(SUPPORTED_GPU_TARGETS MATCHES "gfx9")
   if(CK_EXPERIMENTAL_BUILDER)
     list(APPEND PROFILER_OPS profile_grouped_conv_fwd_tile.cpp)
     list(APPEND PROFILER_OPS profile_grouped_conv_bwd_weight_tile.cpp)
+    list(APPEND PROFILER_OPS profile_grouped_conv_bwd_data_tile.cpp)
   endif()
 endif()
 
@@ -275,6 +276,7 @@ if(SUPPORTED_GPU_TARGETS MATCHES "gfx9")
   if(CK_EXPERIMENTAL_BUILDER)
     list(APPEND DEVICE_INSTANCES device_grouped_conv_fwd_tile_instances)
     list(APPEND DEVICE_INSTANCES device_grouped_conv_bwd_weight_tile_instances)
+    list(APPEND DEVICE_INSTANCES device_grouped_conv_bwd_data_tile_instances)
   endif()
 endif()
 
diff --git a/profiler/src/profile_grouped_conv_bwd_data_tile.cpp b/profiler/src/profile_grouped_conv_bwd_data_tile.cpp
new file mode 100644
index 0000000000..fe51056805
--- /dev/null
+++ b/profiler/src/profile_grouped_conv_bwd_data_tile.cpp
@@ -0,0 +1,218 @@
+// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
+// SPDX-License-Identifier: MIT
+
+#include <iostream>
+#include <numeric>
+#include <initializer_list>
+#include <cstdlib>
+#include <string>
+
+#include "ck_tile/builder/testing/conv/ck_tile.hpp"
+#include "ck_tile/host/device_prop.hpp"
+#include "profiler/grouped_convolution_backward_data_tile_algs.hpp"
+#include "profiler/tile_profiler_utils.hpp"
+#include "profiler/profiler_arg_utils.hpp"
+
+#include "profiler_operation_registry.hpp"
+
+namespace {
+
+enum struct ConvLayout
+{
+    GNHWC_GKYXC_GNHWK, // 0
+    NHWGC_GKYXC_NHWGK, // 1
+    NGCHW_GKYXC_NGKHW, // 2
+    NGCHW_GKCYX_NGKHW, // 3
+};
+
+enum struct ConvDataType
+{
+    F32_F32_F32,      // 0
+    F16_F16_F16,      // 1
+    BF16_BF16_BF16,   // 2
+    F32_F32_F32_TF32, // 3
+};
+
+#define OP_NAME "grouped_conv_bwd_data_tile"
+#define OP_DESC "Grouped Convolution Backward Data (CK Tile)"
+
+static void print_helper_msg()
+{
+    std::cout
+        // clang-format off
+        << "arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n"
+        << "arg2: data type (0: Output fp32, Weight fp32, Input fp32\n"
+        << "                 1: Output fp16, Weight fp16, Input fp16\n"
+        << "                 2: Output bf16, Weight bf16, Input bf16\n"
+        << "                 3: Output fp32, Weight fp32, Input fp32, Compute tf32)\n"
+        << "arg3: tensor layout (0: Output[G, N, Ho, Wo, C], Weight[G, K, Y, X, C], Input[G, N, Hi, Wi, K]\n"
+        << "                     1: Output[N, Ho, Wo, G, C], Weight[G, K, Y, X, C], Input[N, Hi, Wi, G, K])\n"
+        << "                     2: Output[N, G, C, Ho, Wo], Weight[G, K, Y, X, C], Input[N, G, K, Hi, Wi])\n"
+        << "                     3: Output[N, G, C, Ho, Wo], Weight[G, K, C, Y, X], Input[N, G, K, Hi, Wi])\n"
+        << "arg4: verification (0: no, 1: yes)\n"
+        << "arg5: initialization (0: no init, 1: integer value, 2: decimal value)\n"
+        << "arg6: print tensor value (0: no; 1: yes)\n"
+        << "arg7: time kernel (0: no, 1: yes)\n"
+        << ck::utils::conv::get_conv_param_parser_helper_msg() << std::endl
+        << "Last argument: split-K (0: internally computed split-K value; 1, 2, 4, 8, 16, 32, 64, 128: set k batches explicitly)\n"
+        << "\nOptional arguments:\n"
+        << "  --instance <id>      Run only the specified instance (0-indexed among valid instances)\n";
+    // clang-format on
+}
+
+namespace ckb = ck_tile::builder;
+namespace ckt = ck_tile::builder::test;
+namespace ckp = ck_tile::builder::profiling;
+
+template <auto SIGNATURE>
+int call_profiler(const ckt::Args<SIGNATURE>& args,
+                  const std::string& split_k,
+                  bool time_kernel,
+                  ck_tile::index_t instance_index)
+{
+    auto inputs  = ckt::alloc_inputs(args);
+    auto outputs = ckt::alloc_outputs(args);
+    ckt::init_inputs(args, inputs.get());
+
+    std::cout << args.make_input_descriptor() << std::endl;
+    std::cout << args.make_weight_descriptor() << std::endl;
+    std::cout << args.make_output_descriptor() << std::endl;
+    auto&& [valid, avg_time, op_name, best_split_k, best_instance_index] =
+        ckp::run_grouped_conv_backward_data_tile_algs(
+            args,
+            split_k,
+            instance_index,
+            inputs.get(),
+            outputs.get(),
+            ck_tile::stream_config{nullptr,
+                                   time_kernel,
+                                   0 /*log_level*/,
+                                   5 /*cold_iters*/,
+                                   50 /*nrepeat_*/,
+                                   true /*is_gpu_timer_*/});
+    if(time_kernel)
+    {
+        std::cout << "\nBest configuration parameters:" << "\n\tname: " << op_name << " (instance "
+                  << best_instance_index << ")" << "\n\tavg_time: " << avg_time << ", SplitK "
+                  << best_split_k << std::endl;
+    }
+    return !valid;
+}
+
+} // namespace
+
+int profile_grouped_conv_bwd_data_tile(int argc, char* argv[])
+{
+    // Parse optional named arguments first
+    ck_tile::index_t instance_index = -1;
+    bool dummy;
+    ck::profiler::parse_named_args(argc, argv, instance_index, dummy);
+    const int named_arg_count = ck::profiler::count_named_args(argc, argv);
+
+    // Adjust argc for positional argument checking
+    const int positional_argc = argc - named_arg_count;
+
+    // 8 for control, 1 for num_dim_spatial
+    if(positional_argc < 9)
+    {
+        print_helper_msg();
+        return 1;
+    }
+
+    const auto data_type      = static_cast<ConvDataType>(std::stoi(argv[2]));
+    const auto layout         = static_cast<ConvLayout>(std::stoi(argv[3]));
+    const bool time_kernel    = std::stoi(argv[7]);
+    const int num_dim_spatial = std::stoi(argv[8]);
+
+    // 8 for control, 1 for num_dim_spatial, 4 for G/N/K/C, and 6 * num_dim_spatial, 1 for split-K
+    if(positional_argc != 8 + 1 + 4 + 6 * num_dim_spatial + 1)
+    {
+        print_helper_msg();
+        return 1;
+    }
+
+    constexpr ck_tile::index_t conv_params_start_idx = 9;
+    const auto params =
+        ck::utils::conv::parse_conv_param(num_dim_spatial, conv_params_start_idx, argv);
+    std::cout << params << std::endl;
+
+    auto split_k = std::string(argv[8 + 1 + 4 + 6 * num_dim_spatial]);
+
+    // The bwd data profiler in old CK uses -1 to loop over all split-K values.
+    // We want to have the same API for backward compatibility, but we need to convert it to "all"
+    // for the new API.
+    if(split_k == "-1")
+    {
+        split_k = "all";
+    }
+
+    if(layout == ConvLayout::NHWGC_GKYXC_NHWGK)
+    {
+        if(num_dim_spatial == 2)
+        {
+            if(data_type == ConvDataType::F16_F16_F16)
+            {
+                constexpr auto SIGNATURE = ckp::SIGNATURE_NHWGC_FP16_BWD_DATA;
+                return call_profiler<SIGNATURE>(
+                    ckp::parse_conv_args<SIGNATURE>(conv_params_start_idx, argv),
+                    split_k,
+                    time_kernel,
+                    instance_index);
+            }
+            else if(data_type == ConvDataType::BF16_BF16_BF16)
+            {
+                constexpr auto SIGNATURE = ckp::SIGNATURE_NHWGC_BF16_BWD_DATA;
+                return call_profiler<SIGNATURE>(
+                    ckp::parse_conv_args<SIGNATURE>(conv_params_start_idx, argv),
+                    split_k,
+                    time_kernel,
+                    instance_index);
+            }
+            else if(data_type == ConvDataType::F32_F32_F32)
+            {
+                constexpr auto SIGNATURE = ckp::SIGNATURE_NHWGC_FP32_BWD_DATA;
+                return call_profiler<SIGNATURE>(
+                    ckp::parse_conv_args<SIGNATURE>(conv_params_start_idx, argv),
+                    split_k,
+                    time_kernel,
+                    instance_index);
+            }
+        }
+        else if(num_dim_spatial == 3)
+        {
+            if(data_type == ConvDataType::F16_F16_F16)
+            {
+                constexpr auto SIGNATURE = ckp::SIGNATURE_NDHWGC_FP16_BWD_DATA;
+                return call_profiler<SIGNATURE>(
+                    ckp::parse_conv_args<SIGNATURE>(conv_params_start_idx, argv),
+                    split_k,
+                    time_kernel,
+                    instance_index);
+            }
+            else if(data_type == ConvDataType::BF16_BF16_BF16)
+            {
+                constexpr auto SIGNATURE = ckp::SIGNATURE_NDHWGC_BF16_BWD_DATA;
+                return call_profiler<SIGNATURE>(
+                    ckp::parse_conv_args<SIGNATURE>(conv_params_start_idx, argv),
+                    split_k,
+                    time_kernel,
+                    instance_index);
+            }
+            else if(data_type == ConvDataType::F32_F32_F32)
+            {
+                constexpr auto SIGNATURE = ckp::SIGNATURE_NDHWGC_FP32_BWD_DATA;
+                return call_profiler<SIGNATURE>(
+                    ckp::parse_conv_args<SIGNATURE>(conv_params_start_idx, argv),
+                    split_k,
+                    time_kernel,
+                    instance_index);
+            }
+        }
+    }
+
+    std::cout << "this data_type & layout is not implemented" << std::endl;
+
+    return 1;
+}
+
+REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_grouped_conv_bwd_data_tile);